Fulfillment Data & Systems Analyst — Drive Ops Insights

L.L.Bean; Freeport (ME); On-site; USD 66,000 - 82,000; Full time

Job summary

L.L.Bean in Freeport, Maine seeks a Fulfillment Systems & Data Analyst to join our team. Build and maintain reporting solutions, data pipelines, and tools to monitor fulfillment performance and labor utilization.

You will translate business requirements into practical system enhancements, collaborate with Planning, Scheduling, Operations, and IS, and support day-to-day execution and long-term objectives. A four-year degree and 3 years of relevant experience preferred.

Qualifications

• Bachelor's degree preferred with 3 years of relevant experience.
• Strong analytical abilities and data-driven mindset.
• Ability to translate business needs into practical system enhancements.
• Experience with reporting, data pipelines, and dashboards is a plus.

Responsibilities

• Develop, maintain, and support reporting solutions, dashboards, and analytical tools for fulfillment operations.
• Build SQL queries, data pipelines, and automated processes for data collection and distribution.
• Troubleshoot issues in planning, scheduling, and operational systems and implement fixes.
• Design web-based tools to support scheduling, hiring, training, and execution activities.
• Partner with leaders to translate requirements into system enhancements and automation.
• Perform moderately complex data analysis across multiple sources to inform decisions.

Skills

Analytical Skills

Communication

Tech Interest

Learning Agility

Curiosity

Teamwork

Education

Bachelor's degree

Tools

SQL

Excel

Data Visualization Tools

Scripting

App Development

Job description

L.L.Bean in Freeport, Maine seeks a Fulfillment Systems & Data Analyst to join our team. Build and maintain reporting solutions, data pipelines, and tools to monitor fulfillment performance and labor utilization.

You will translate business requirements into practical system enhancements, collaborate with Planning, Scheduling, Operations, and IS, and support day-to-day execution and long-term objectives. A four-year degree and 3 years of relevant experience preferred.